A Novel PSO based Task Scheduling Algorithm for Multi-core Systems

Tian, J.; Hu, W.; Wang, Y.

A Novel PSO based Task Scheduling Algorithm for Multi-core Systems

Tian, J. and Hu, W. and Wang, Y. (2017) A Novel PSO based Task Scheduling Algorithm for Multi-core Systems. In: First International Conference, SmartCom 2016, Shenzhen, China, December 17-19, 2016, Proceedings. Springer, ['lib/metafield/pagerange:range' not defined

to: 71
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pagerange: 62-71

]. ISBN 978-3-319-52015-5

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Multi-core processors have been the mainstream in computer architecture. It also provides the enhancement of the parallelism degree of multiple tasks. An emerged challenge is how to schedule the multiple tasks to the cores for high efficiency. In this paper, a novel task scheduling algorithm is proposed for multi-core systems. This algorithm is based on optimized particle swarm algorithm, which is used to find the optimal solution for the task scheduling. The experimental results have showed that the proposed algorithm can improve the efficiency of task scheduling for multi-core systems.

['eprint_fieldname_type' not defined]:	['eprint_typename_book_section' not defined]
Dates:	Date Event 2017 Published
['eprint_fieldname_subjects' not defined]:	CAH11 - computing['lib/metafield:join_subject_parts' not defined]CAH11-01 - computing['lib/metafield:join_subject_parts' not defined]CAH11-01-01 - computer science
['eprint_fieldname_divisions' not defined]:	Architecture, Built Environment, Computing and Engineering['lib/metafield:join_subject' not defined]Architecture, Built Environment, Computing and Engineering['lib/metafield:join_subject_parts' not defined]Computer Science
['eprint_fieldname_userid' not defined]:	Oana-Andreea Dumitrascu
['eprint_fieldname_datestamp' not defined]:	30 ['lib/utils:month_short_06' not defined] 2017 08:50
['eprint_fieldname_lastmod' not defined]:	22 ['lib/utils:month_short_03' not defined] 2023 12:01
URI:	https://www.open-access.bcu.ac.uk/id/eprint/4750